Package evaluation to test XGBoost on Julia 1.14.0-DEV.2213 (dc778b8d37*) started at 2026-05-21T11:46:35.416 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.08s ################################################################################ # Installation # Installing XGBoost... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [009559a3] + XGBoost v2.5.4 Updating `~/.julia/environments/v1.14/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.6.0 [4fba245c] + ArrayInterface v7.25.0 [a9b6321e] + Atomix v1.1.3 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [fa961155] + CEnum v0.5.0 [2a0fbf3d] + CPUSummary v0.2.7 [fb6a15b2] + CloseOpenIntervals v0.1.13 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [adafc99b] + CpuId v0.3.1 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [615f187c] + IfElse v0.1.1 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.0 [10f19ff3] + LayoutPointers v0.1.17 [d125e4d3] + ManualMemory v0.1.8 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.4 [f517fe37] + Polyester v0.7.19 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [94e857df] + SIMDTypes v0.1.0 [431bcebd] + SciMLPublic v1.0.1 [a0a7dd2c] + SparseMatricesCSR v0.6.12 [aedffcd0] + Static v1.4.0 [0d7ed370] + StaticArrayInterface v1.10.0 [10745b16] + Statistics v1.11.1 [7792a7ef] + StrideArraysCore v0.5.9 [ec057cc2] + StructUtils v2.8.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [8290d209] + ThreadingUtilities v0.5.5 [013be700] + UnsafeAtomics v0.3.1 [009559a3] + XGBoost v2.5.4 [4ee394cb] + CUDA_Driver_jll v13.2.1+3 [76a88914] + CUDA_Runtime_jll v0.22.0+1 [1d63c593] + LLVMOpenMP_jll v18.1.8+0 [bf13095a] + XGBoost_GPU_jll v2.1.5+0 [a5c6f535] + XGBoost_jll v2.1.5+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.3+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [4536629a] + OpenBLAS_jll v0.3.33+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 Installation completed after 19.32s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/RUPmD/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 5.3 s ✓ XGBoost_GPU_jll 13.5 s ✓ cuSPARSE → SparseMatricesCSRExt 7.6 s ✓ XGBoost 12.8 s ✓ XGBoost → XGBoostTermExt 23.3 s ✓ XGBoost → XGBoostCUDAExt 5 dependencies successfully precompiled in 64 seconds. 147 already precompiled. Precompilation completed after 114.36s ################################################################################ # Testing # Testing XGBoost Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_NVke9d/Project.toml` [052768ef] + CUDA v6.1.0 [22787eb5] + Term v2.0.8 [009559a3] + XGBoost v2.5.4 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_NVke9d/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [ab4f0b2a] + BFloat16s v0.6.1 [052768ef] + CUDA v6.1.0 [bd0ed864] + CUDACore v6.1.1 [9ec180c6] + CUDATools v6.1.0 [1af6417a] + CUDA_Runtime_Discovery v2.0.0 [9e67e8f6] + CUPTI v6.1.0 [da1fd8a2] + CodeTracking v3.0.2 [a8cc5b0e] + Crayons v4.1.1 [ffbed154] + DocStringExtensions v0.9.5 [e2ba6199] + ExprTools v0.1.10 [0c68f7d7] + GPUArrays v11.5.4 [46192b85] + GPUArraysCore v0.2.0 [61eb1bfa] + GPUCompiler v1.13.1 [096a3bc2] + GPUToolbox v1.1.1 [076d061b] + HashArrayMappedTries v0.2.0 ⌅ [eafb193a] + Highlights v0.5.3 [63c18a36] + KernelAbstractions v0.9.41 [929cbde3] + LLVM v9.8.2 [8b046642] + LLVMLoopInfo v1.0.0 [b964fa9f] + LaTeXStrings v1.4.0 [1914dd2f] + MacroTools v0.5.16 [1c23619d] + MyterialColors v0.3.0 [611af6d1] + NVML v6.1.0 [5da4648a] + NVTX v1.0.3 [d96e819e] + Parameters v0.12.3 [08abe8d2] + PrettyTables v3.3.2 [33c8b6b6] + ProgressLogging v0.1.6 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e506255] + ScopedValues v1.6.2 [6c6a2e73] + Scratch v1.3.0 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [892a3eda] + StringManipulation v0.4.4 [22787eb5] + Term v2.0.8 [e689c965] + Tracy v0.1.6 [3a884ed6] + UnPack v1.0.2 [1cfade01] + UnicodeFun v0.4.1 [009559a3] + XGBoost v2.5.4 [182d3088] + cuBLAS v6.1.0 [533571aa] + cuFFT v6.1.0 [20fd9a0b] + cuRAND v6.1.0 [887afef0] + cuSOLVER v6.1.0 [b26da814] + cuSPARSE v6.1.0 [d1e2174e] + CUDA_Compiler_jll v0.4.3+0 ⌅ [76a88914] ↓ CUDA_Runtime_jll v0.22.0+1 ⇒ v0.21.0+1 [9c1d0b0a] + JuliaNVTXCallbacks_jll v0.2.1+0 [dad2f222] + LLVMExtra_jll v0.0.43+1 [ad6e5548] + LibTracyClient_jll v0.13.1+0 [e98f9f5b] + NVTX_jll v3.2.2+0 [1e29f10c] + demumble_jll v1.3.0+0 [b77e0a4c] + InteractiveUtils v1.11.0 [3fa0cd96] + REPL v1.11.0 [6462fe0b] + Sockets v1.11.0 [8dfed614] ~ Test ⇒ v1.11.0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_NVke9d/Project.toml` [1520ce14] AbstractTrees v0.4.5 [fa961155] CEnum v0.5.0 [052768ef] CUDA v6.1.0 [682c06a0] JSON v1.6.0 [bac558e1] OrderedCollections v1.8.1 [a0a7dd2c] SparseMatricesCSR v0.6.12 [10745b16] Statistics v1.11.1 [bd369af6] Tables v1.12.1 [22787eb5] Term v2.0.8 [009559a3] XGBoost v2.5.4 [bf13095a] XGBoost_GPU_jll v2.1.5+0 [a5c6f535] XGBoost_jll v2.1.5+0 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_NVke9d/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [79e6a3ab] Adapt v4.6.0 [4fba245c] ArrayInterface v7.25.0 [a9b6321e] Atomix v1.1.3 [ab4f0b2a] BFloat16s v0.6.1 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [fa961155] CEnum v0.5.0 [2a0fbf3d] CPUSummary v0.2.7 [052768ef] CUDA v6.1.0 [bd0ed864] CUDACore v6.1.1 [9ec180c6] CUDATools v6.1.0 [1af6417a] CUDA_Runtime_Discovery v2.0.0 [9e67e8f6] CUPTI v6.1.0 [fb6a15b2] CloseOpenIntervals v0.1.13 [da1fd8a2] CodeTracking v3.0.2 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [e2d170a0] DataValueInterfaces v1.0.0 [ffbed154] DocStringExtensions v0.9.5 [e2ba6199] ExprTools v0.1.10 [0c68f7d7] GPUArrays v11.5.4 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.13.1 [096a3bc2] GPUToolbox v1.1.1 [076d061b] HashArrayMappedTries v0.2.0 ⌅ [eafb193a] Highlights v0.5.3 [615f187c] IfElse v0.1.1 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.8.0 [682c06a0] JSON v1.6.0 [63c18a36] KernelAbstractions v0.9.41 [929cbde3] LLVM v9.8.2 [8b046642] LLVMLoopInfo v1.0.0 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [1c23619d] MyterialColors v0.3.0 [611af6d1] NVML v6.1.0 [5da4648a] NVTX v1.0.3 [bac558e1] OrderedCollections v1.8.1 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.4 [f517fe37] Polyester v0.7.19 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [08abe8d2] PrettyTables v3.3.2 [33c8b6b6] ProgressLogging v0.1.6 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [94e857df] SIMDTypes v0.1.0 [431bcebd] SciMLPublic v1.0.1 [7e506255] ScopedValues v1.6.2 [6c6a2e73] Scratch v1.3.0 [a0a7dd2c] SparseMatricesCSR v0.6.12 [aedffcd0] Static v1.4.0 [0d7ed370] StaticArrayInterface v1.10.0 [90137ffa] StaticArrays v1.9.18 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [7792a7ef] StrideArraysCore v0.5.9 [892a3eda] StringManipulation v0.4.4 [ec057cc2] StructUtils v2.8.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [22787eb5] Term v2.0.8 [8290d209] ThreadingUtilities v0.5.5 [e689c965] Tracy v0.1.6 [3a884ed6] UnPack v1.0.2 [1cfade01] UnicodeFun v0.4.1 [013be700] UnsafeAtomics v0.3.1 [009559a3] XGBoost v2.5.4 [182d3088] cuBLAS v6.1.0 [533571aa] cuFFT v6.1.0 [20fd9a0b] cuRAND v6.1.0 [887afef0] cuSOLVER v6.1.0 [b26da814] cuSPARSE v6.1.0 [d1e2174e] CUDA_Compiler_jll v0.4.3+0 [4ee394cb] CUDA_Driver_jll v13.2.1+3 ⌅ [76a88914] CUDA_Runtime_jll v0.21.0+1 [9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0 [dad2f222] LLVMExtra_jll v0.0.43+1 [1d63c593] LLVMOpenMP_jll v18.1.8+0 [ad6e5548] LibTracyClient_jll v0.13.1+0 [e98f9f5b] NVTX_jll v3.2.2+0 [bf13095a] XGBoost_GPU_jll v2.1.5+0 [a5c6f535] XGBoost_jll v2.1.5+0 [1e29f10c] demumble_jll v1.3.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.1+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.3+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [458c3c95] OpenSSL_jll v3.5.6+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ Warning: [11:51:08] WARNING: /workspace/srcdir/xgboost/src/c_api/c_api.cc:1019: `XGBoosterBoostOneIter` is deprecated since2.1.0, use `XGBoosterTrainOneIter` instead. └ @ XGBoost ~/.julia/packages/XGBoost/ctppt/src/XGBoost.jl:34 ┌ Warning: [11:51:09] WARNING: /workspace/srcdir/xgboost/src/c_api/c_api.cc:1019: `XGBoosterBoostOneIter` is deprecated since2.1.0, use `XGBoosterTrainOneIter` instead. └ @ XGBoost ~/.julia/packages/XGBoost/ctppt/src/XGBoost.jl:34 ┌ Warning: [11:51:09] WARNING: /workspace/srcdir/xgboost/src/c_api/c_api.cc:1019: `XGBoosterBoostOneIter` is deprecated since2.1.0, use `XGBoosterTrainOneIter` instead. └ @ XGBoost ~/.julia/packages/XGBoost/ctppt/src/XGBoost.jl:34 [ Info: XGBoost: starting training. [ Info: [1] eval-rmsle:0.09311178558380145 eval-rmse:0.12088154560829874 train-rmsle:0.09516384827189184 train-rmse:0.12458323318968342 [ Info: [2] eval-rmsle:0.03373299245987331 eval-rmse:0.04277789053406580 train-rmsle:0.03395206101636909 train-rmse:0.04351749281779705 [ Info: [3] eval-rmsle:0.01331696804112428 eval-rmse:0.01670001211886211 train-rmsle:0.01331363722758162 train-rmse:0.01709045333696795 [ Info: [4] eval-rmsle:0.00579506668724286 eval-rmse:0.00738355084242434 train-rmsle:0.00589786198558646 train-rmse:0.00797049360684598 [ Info: [5] eval-rmsle:0.00349203361333551 eval-rmse:0.00446209115554762 train-rmsle:0.00366354179357722 train-rmse:0.00532751693094597 [ Info: [6] eval-rmsle:0.00230696799980833 eval-rmse:0.00299441031049603 train-rmsle:0.00243987827289096 train-rmse:0.00372948872389998 [ Info: [7] eval-rmsle:0.00198743457613418 eval-rmse:0.00232108134724293 train-rmsle:0.00233072197811878 train-rmse:0.00351171869094617 [ Info: [8] eval-rmsle:0.00183314865051830 eval-rmse:0.00218473839382444 train-rmsle:0.00187464304048571 train-rmse:0.00268984631891293 [ Info: [9] eval-rmsle:0.00149587022150816 eval-rmse:0.00193510625680311 train-rmsle:0.00159687119873875 train-rmse:0.00248948409447635 [ Info: [10] eval-rmsle:0.00140072429358725 eval-rmse:0.00175193085203870 train-rmsle:0.00140161122736119 train-rmse:0.00208175014146188 [ Info: [11] eval-rmsle:0.00139425759891176 eval-rmse:0.00171232580418471 train-rmsle:0.00133461832044545 train-rmse:0.00185869184937647 [ Info: [12] eval-rmsle:0.00128924998271972 eval-rmse:0.00167666615775793 train-rmsle:0.00125521370789571 train-rmse:0.00186169247253542 [ Info: [13] eval-rmsle:0.00135006814414959 eval-rmse:0.00174141040367590 train-rmsle:0.00126216218475461 train-rmse:0.00179938516954769 [ Info: [14] eval-rmsle:0.00119777567702527 eval-rmse:0.00145940207453431 train-rmsle:0.00116890511458032 train-rmse:0.00170827649955664 [ Info: [15] eval-rmsle:0.00121096513763090 eval-rmse:0.00151873815398286 train-rmsle:0.00118974353584588 train-rmse:0.00177087078369563 [ Info: [16] eval-rmsle:0.00116580214824423 eval-rmse:0.00147338413425719 train-rmsle:0.00115370292588551 train-rmse:0.00170877055944155 [ Info: [17] eval-rmsle:0.00116769293487799 eval-rmse:0.00150531399852515 train-rmsle:0.00115343224161791 train-rmse:0.00170742032679273 [ Info: [18] eval-rmsle:0.00116757024613724 eval-rmse:0.00153388579192881 train-rmsle:0.00116895813804995 train-rmse:0.00176534614117505 [ Info: [19] eval-rmsle:0.00117949399272166 eval-rmse:0.00154123625515960 train-rmsle:0.00115367151344788 train-rmse:0.00169788673981039 [ Info: [20] eval-rmsle:0.00116092991579580 eval-rmse:0.00150312512255332 train-rmsle:0.00115139182701327 train-rmse:0.00172168335108636 [ Info: [21] eval-rmsle:0.00118796190841522 eval-rmse:0.00153513114044318 train-rmsle:0.00114728041666402 train-rmse:0.00167748745739459 [ Info: [22] eval-rmsle:0.00121855834339621 eval-rmse:0.00152822453884797 train-rmsle:0.00117711407295660 train-rmse:0.00169646826244684 [ Info: [23] eval-rmsle:0.00121350033617140 eval-rmse:0.00155144268305313 train-rmsle:0.00118725861738746 train-rmse:0.00174999975846509 [ Info: [24] eval-rmsle:0.00123989025146443 eval-rmse:0.00158063921115342 train-rmsle:0.00119284726384868 train-rmse:0.00173113255705680 [ Info: [25] eval-rmsle:0.00115788172083162 eval-rmse:0.00144977114457099 train-rmsle:0.00118569258609211 train-rmse:0.00179151713214355 [ Info: [26] eval-rmsle:0.00117963404450325 eval-rmse:0.00148180408088154 train-rmsle:0.00117353919747055 train-rmse:0.00173753487411019 [ Info: [27] eval-rmsle:0.00120768725948632 eval-rmse:0.00151422918331702 train-rmsle:0.00117541774685521 train-rmse:0.00170835272237206 [ Info: [28] eval-rmsle:0.00122934585122194 eval-rmse:0.00152303975267601 train-rmsle:0.00118625369766517 train-rmse:0.00170582353689105 [ Info: [29] eval-rmsle:0.00122433257245684 eval-rmse:0.00153754057432816 train-rmsle:0.00119239251035479 train-rmse:0.00174310319569286 [ Info: [30] eval-rmsle:0.00119202599693146 eval-rmse:0.00150090543620498 train-rmsle:0.00117908433842026 train-rmse:0.00174496072333165 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: Will train until there has been no improvement in 2 rounds. [ Info: [1] train-rmsle:0.09516384827189184 train-rmse:0.12458323318968342 eval-rmsle:0.09311178558380145 eval-rmse:0.12088154560829874 [ Info: [2] train-rmsle:0.03395206101636909 train-rmse:0.04351749281779705 eval-rmsle:0.03373299245987331 eval-rmse:0.04277789053406580 [ Info: [3] train-rmsle:0.01331363722758162 train-rmse:0.01709045333696795 eval-rmsle:0.01331696804112428 eval-rmse:0.01670001211886211 [ Info: [4] train-rmsle:0.00589786198558646 train-rmse:0.00797049360684598 eval-rmsle:0.00579506668724286 eval-rmse:0.00738355084242434 [ Info: [5] train-rmsle:0.00366354179357722 train-rmse:0.00532751693094597 eval-rmsle:0.00349203361333551 eval-rmse:0.00446209115554762 [ Info: [6] train-rmsle:0.00243987827289096 train-rmse:0.00372948872389998 eval-rmsle:0.00230696799980833 eval-rmse:0.00299441031049603 [ Info: [7] train-rmsle:0.00233072197811878 train-rmse:0.00351171869094617 eval-rmsle:0.00198743457613418 eval-rmse:0.00232108134724293 [ Info: [8] train-rmsle:0.00187464304048571 train-rmse:0.00268984631891293 eval-rmsle:0.00183314865051830 eval-rmse:0.00218473839382444 [ Info: [9] train-rmsle:0.00159687119873875 train-rmse:0.00248948409447635 eval-rmsle:0.00149587022150816 eval-rmse:0.00193510625680311 [ Info: [10] train-rmsle:0.00140161122736119 train-rmse:0.00208175014146188 eval-rmsle:0.00140072429358725 eval-rmse:0.00175193085203870 [ Info: [11] train-rmsle:0.00133461832044545 train-rmse:0.00185869184937647 eval-rmsle:0.00139425759891176 eval-rmse:0.00171232580418471 [ Info: [12] train-rmsle:0.00125521370789571 train-rmse:0.00186169247253542 eval-rmsle:0.00128924998271972 eval-rmse:0.00167666615775793 [ Info: [13] train-rmsle:0.00126216218475461 train-rmse:0.00179938516954769 eval-rmsle:0.00135006814414959 eval-rmse:0.00174141040367590 [ Info: [14] train-rmsle:0.00116890511458032 train-rmse:0.00170827649955664 eval-rmsle:0.00119777567702527 eval-rmse:0.00145940207453431 [ Info: [15] train-rmsle:0.00118974353584588 train-rmse:0.00177087078369563 eval-rmsle:0.00121096513763090 eval-rmse:0.00151873815398286 [ Info: [16] train-rmsle:0.00115370292588551 train-rmse:0.00170877055944155 eval-rmsle:0.00116580214824423 eval-rmse:0.00147338413425719 ┌ Info: Xgboost: Stopping. │ Best iteration: 14. └ No improvement in eval-rmse result in 2 rounds. [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: Will train until there has been no improvement in 2 rounds. [ Info: [1] train-rmsle:0.09516384827189184 train-rmse:0.12458323318968342 eval-rmsle:0.09311178558380145 eval-rmse:0.12088154560829874 [ Info: [2] train-rmsle:0.03395206101636909 train-rmse:0.04351749281779705 eval-rmsle:0.03373299245987331 eval-rmse:0.04277789053406580 [ Info: [3] train-rmsle:0.01331363722758162 train-rmse:0.01709045333696795 eval-rmsle:0.01331696804112428 eval-rmse:0.01670001211886211 [ Info: [4] train-rmsle:0.00589786198558646 train-rmse:0.00797049360684598 eval-rmsle:0.00579506668724286 eval-rmse:0.00738355084242434 [ Info: [5] train-rmsle:0.00366354179357722 train-rmse:0.00532751693094597 eval-rmsle:0.00349203361333551 eval-rmse:0.00446209115554762 [ Info: [6] train-rmsle:0.00243987827289096 train-rmse:0.00372948872389998 eval-rmsle:0.00230696799980833 eval-rmse:0.00299441031049603 [ Info: [7] train-rmsle:0.00233072197811878 train-rmse:0.00351171869094617 eval-rmsle:0.00198743457613418 eval-rmse:0.00232108134724293 [ Info: [8] train-rmsle:0.00187464304048571 train-rmse:0.00268984631891293 eval-rmsle:0.00183314865051830 eval-rmse:0.00218473839382444 [ Info: [9] train-rmsle:0.00159687119873875 train-rmse:0.00248948409447635 eval-rmsle:0.00149587022150816 eval-rmse:0.00193510625680311 [ Info: [10] train-rmsle:0.00140161122736119 train-rmse:0.00208175014146188 eval-rmsle:0.00140072429358725 eval-rmse:0.00175193085203870 [ Info: [11] train-rmsle:0.00133461832044545 train-rmse:0.00185869184937647 eval-rmsle:0.00139425759891176 eval-rmse:0.00171232580418471 [ Info: [12] train-rmsle:0.00125521370789571 train-rmse:0.00186169247253542 eval-rmsle:0.00128924998271972 eval-rmse:0.00167666615775793 [ Info: [13] train-rmsle:0.00126216218475461 train-rmse:0.00179938516954769 eval-rmsle:0.00135006814414959 eval-rmse:0.00174141040367590 [ Info: [14] train-rmsle:0.00116890511458032 train-rmse:0.00170827649955664 eval-rmsle:0.00119777567702527 eval-rmse:0.00145940207453431 [ Info: [15] train-rmsle:0.00118974353584588 train-rmse:0.00177087078369563 eval-rmsle:0.00121096513763090 eval-rmse:0.00151873815398286 [ Info: [16] train-rmsle:0.00115370292588551 train-rmse:0.00170877055944155 eval-rmsle:0.00116580214824423 eval-rmse:0.00147338413425719 ┌ Info: Xgboost: Stopping. │ Best iteration: 14. └ No improvement in eval-rmse result in 2 rounds. [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: Will train until there has been no improvement in 2 rounds. [ Info: [1] train-rmsle:0.09400195477049222 train-rmse:0.12322671770529799 eval-rmsle:0.09313339368737485 eval-rmse:0.12120867271092552 [ Info: [2] train-rmsle:0.03487183368152718 train-rmse:0.04513222059761323 eval-rmsle:0.03442407220821330 eval-rmse:0.04376119871504091 [ Info: [3] train-rmsle:0.01345630651976374 train-rmse:0.01758327052905027 eval-rmsle:0.01325199322876083 eval-rmse:0.01673821606383434 [ Info: [4] train-rmsle:0.00575009007956296 train-rmse:0.00778971169020835 eval-rmsle:0.00562688547525238 eval-rmse:0.00718863276872639 [ Info: [5] train-rmsle:0.00331128325832219 train-rmse:0.00470488682222526 eval-rmsle:0.00322093534141225 eval-rmse:0.00415931299415092 [ Info: [6] train-rmsle:0.00251547565671247 train-rmse:0.00371619449834243 eval-rmsle:0.00239707351497643 eval-rmse:0.00311402815052861 [ Info: [7] train-rmsle:0.00212331914770491 train-rmse:0.00311067940898930 eval-rmsle:0.00208087226742323 eval-rmse:0.00273267001999106 [ Info: [8] train-rmsle:0.00191662074216459 train-rmse:0.00293733945465145 eval-rmsle:0.00186748114606016 eval-rmse:0.00258671918942795 [ Info: [9] train-rmsle:0.00176634997932151 train-rmse:0.00286029486007627 eval-rmsle:0.00172351167437055 eval-rmse:0.00258621515555209 [ Info: [10] train-rmsle:0.00161890495856948 train-rmse:0.00253080566247204 eval-rmsle:0.00161846783359263 eval-rmse:0.00233267001813942 [ Info: [11] train-rmsle:0.00162215900030326 train-rmse:0.00248301376055555 eval-rmsle:0.00163788081627377 eval-rmse:0.00230947020252175 [ Info: [12] train-rmsle:0.00152668274892861 train-rmse:0.00222891392437491 eval-rmsle:0.00156210387491020 eval-rmse:0.00214132525956894 [ Info: [13] train-rmsle:0.00146300580644028 train-rmse:0.00224000609872601 eval-rmsle:0.00148696817561512 eval-rmse:0.00214482901904615 [ Info: [14] train-rmsle:0.00138691384716277 train-rmse:0.00200881845215055 eval-rmsle:0.00141664950189492 eval-rmse:0.00194508359022985 [ Info: [15] train-rmsle:0.00136958978925420 train-rmse:0.00206230100598218 eval-rmsle:0.00142164104764360 eval-rmse:0.00205109524376891 [ Info: [16] train-rmsle:0.00132957857546709 train-rmse:0.00196568270020401 eval-rmsle:0.00136180902879615 eval-rmse:0.00191012708466523 [ Info: [17] train-rmsle:0.00130170026854564 train-rmse:0.00199074283345849 eval-rmsle:0.00133664716019292 eval-rmse:0.00193702268248683 [ Info: [18] train-rmsle:0.00128327777864138 train-rmse:0.00194318724807855 eval-rmsle:0.00133940096623383 eval-rmse:0.00194758163510130 ┌ Info: Xgboost: Stopping. │ Best iteration: 16. └ No improvement in eval-rmse result in 2 rounds. [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: Will train until there has been no improvement in 2 rounds. [ Info: [1] train-rmsle:0.09516384827189184 train-rmse:0.12458323318968342 [ Info: [2] train-rmsle:0.03395206101636909 train-rmse:0.04351749281779705 [ Info: [3] train-rmsle:0.01331363722758162 train-rmse:0.01709045333696795 [ Info: [4] train-rmsle:0.00589786198558646 train-rmse:0.00797049360684598 [ Info: [5] train-rmsle:0.00366354179357722 train-rmse:0.00532751693094597 [ Info: [6] train-rmsle:0.00243987827289096 train-rmse:0.00372948872389998 [ Info: [7] train-rmsle:0.00233072197811878 train-rmse:0.00351171869094617 [ Info: [8] train-rmsle:0.00187464304048571 train-rmse:0.00268984631891293 [ Info: [9] train-rmsle:0.00159687119873875 train-rmse:0.00248948409447635 [ Info: [10] train-rmsle:0.00140161122736119 train-rmse:0.00208175014146188 [ Info: [11] train-rmsle:0.00133461832044545 train-rmse:0.00185869184937647 [ Info: [12] train-rmsle:0.00125521370789571 train-rmse:0.00186169247253542 [ Info: [13] train-rmsle:0.00126216218475461 train-rmse:0.00179938516954769 [ Info: [14] train-rmsle:0.00116890511458032 train-rmse:0.00170827649955664 [ Info: [15] train-rmsle:0.00118974353584588 train-rmse:0.00177087078369563 [ Info: [16] train-rmsle:0.00115370292588551 train-rmse:0.00170877055944155 ┌ Info: Xgboost: Stopping. │ Best iteration: 14. └ No improvement in train-rmse result in 2 rounds. [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-rmse:0.98377194542124635 [ Info: [2] train-rmse:0.80821988024796854 [ Info: [3] train-rmse:0.67041944537635045 [ Info: [4] train-rmse:0.56305742199033382 [ Info: [5] train-rmse:0.47691942771740453 [ Info: [6] train-rmse:0.40445986325425781 [ Info: [7] train-rmse:0.34316456717660027 [ Info: [8] train-rmse:0.29128295989145248 [ Info: [9] train-rmse:0.24735806556534279 [ Info: [10] train-rmse:0.21015731819519615 [ Info: Training rounds complete. Test Summary: | Pass Total Time XGBoost | 57 57 1m34.5s Testing XGBoost tests passed Testing completed after 168.29s PkgEval succeeded after 332.91s